Affiliation:
1. School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Abstract
Our research scrutinizes the impact of grease rheological properties on the lubrication performance of wind turbine spindle bearings. The rheological behavior of three distinct commercial wind turbine greases was examined with a rotational rheometer. Investigations into the viscoelastic, flow, and viscosity–temperature attributes of the grease under varying temperatures were conducted, and the rheological parameters were fitted utilizing the Herschel–Bulkley (H–B) model. Constitutive equations of the grease derived from fitting the H–B model can efficaciously predict its rheological properties and viscosity–temperature behavior for wind power spindle bearings at disparate temperatures.
Funder
22IRTSTHN018 “Science and Technology Innovation Team Support Program for Universities in Henan Province”
North China University of Water Resources and Electric Power’s Young Backbone Project Support Program
Subject
Surfaces, Coatings and Films,Mechanical Engineering
Reference28 articles.
1. Yan, J., Liu, Y., and Ren, X. (2023). An Early Fault Detection Method for Wind Turbine Main Bearings Based on Self-Attention GRU Network and Binary Segmentation Changepoint Detection Algorithm. Energies, 16.
2. (2022, June 01). Available online: https://www.sohu.com/a/553148021_120097033.
3. (2022, April 12). Available online: https://www.163.com/dy/article/H4P0LA660514C30V.html.
4. Afridi, Y.S., Hasan, L., Ullah, R., Ahmad, Z., and Kim, J.-M. (2023). LSTM-Based Condition Monitoring and Fault Prognostics of Rolling Element Bearings Using Raw Vibrational Data. Machines, 11.
5. Bayer, G., Bartschat, A., Wandel, S., Baust, S., and Poll, G. (2023). Experimental Investigations on Wear in Oscillating Grease-Lubricated Rolling Element Bearings of Different Size and Type. Lubricants, 11.
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